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Journal Articles
- 2024
- [j17]Xiangyang Zhang
, Zhaohui Jiang, Jiayao Ma, Yaru Qi, Yin Li, Yan Zhang, Yihan Liu, Chaochao Wei, Yihong Chen, Ping Liu, Yinghui Peng, Jun Tan, Ying Han, Shan Zeng, Changjing Cai, Hong Shen:
Leveraging large-scale genetic data to assess the causal impact of COVID-19 on multisystemic diseases. J. Big Data 11(1): 129 (2024) - [j16]Yihong Chen, Qian Huang
Discrete-Velocity-Direction Models of BGK-Type with Minimum Entropy: II - Weighted Models. J. Sci. Comput. 99(3): 84 (2024) - [j15]Hao Zheng, Yihong Chen
High-Accuracy and Fine-Granularity Human Activity Recognition Method Based on Body RFID Skeleton. IEEE Trans. Consumer Electron. 70(1): 1040-1051 (2024) - [j14]Ziyi Wang
Body RFID Skeleton-Based Human Activity Recognition Using Graph Convolution Neural Network. IEEE Trans. Mob. Comput. 23(6): 7301-7317 (2024) - [j13]Yihong Chen
Online Handwritten Chinese Character Recognition Based on 1-D Convolution and Two-Streams Transformers. IEEE Trans. Multim. 26: 5769-5781 (2024) - 2023
- [j12]Qian Huang, Yihong Chen, Wen-An Yong:
Discrete-Velocity-Direction Models of BGK-type with Minimum Entropy: I. Basic Idea. J. Sci. Comput. 95(3): 80 (2023) - [j11]Shuai Dong, Zhen Fan
Performance estimation for the memristor-based computing-in-memory implementation of extremely factorized network for real-time and low-power semantic segmentation. Neural Networks 160: 202-215 (2023) - 2022
- [j10]Yihong Chen, Zhen Fan
A Multifault-Tolerant Training Scheme for Nonideal Memristive Neural Networks. Adv. Intell. Syst. 4(5) (2022) - [j9]Shuai Dong, Yihong Chen, Zhen Fan, Kaihui Chen, Minghui Qin, Min Zeng, Xubing Lu, Guofu Zhou, Xingsen Gao, Jun-Ming Liu:
A backpropagation with gradient accumulation algorithm capable of tolerating memristor non-idealities for training memristive neural networks. Neurocomputing 494: 89-103 (2022) - [j8]Yangyang Yan, Hui Lei, Yihong Chen, Bin Zhou:
Analyzing the Dynamic Spatiotemporal Changes in Urban Extension across Zhejiang Province Using NPP-VIIRS Nighttime Light Data. Remote. Sens. 14(13): 3212 (2022) - 2021
- [j7]Yihong Chen, Quanyuan Feng, Xiaolin Jia, Huayue Chen:
Modeling and analyzing RFID Generation-2 under unreliable channels. J. Netw. Comput. Appl. 178: 102937 (2021) - 2019
- [j6]Yihong Chen
A Collision Avoidance Identification Algorithm for Mobile RFID Device. IEEE Trans. Consumer Electron. 65(4): 493-501 (2019) - 2018
- [j5]Jinchao Huang
Large-Scale Price Interval Prediction at OTA Sites. IEEE Access 6: 69807-69817 (2018) - 2014
- [j4]Yihong Chen, Qijun Chen:
Real-Time Self-Collision Avoidance for humanoid robot Based on Dynamic Task-Prior System. Int. J. Robotics Autom. 29(3) (2014) - [j3]Yihong Chen, Quanyuan Feng:
An Efficient Anti-collision Algorithm for the EPCglobal Class-1 Generation-2 System under the Dynamic Environment. KSII Trans. Internet Inf. Syst. 8(11): 3997-4015 (2014) - 2013
- [j2]Tao Liu, Tianrui Li
A Distributed TDMA-Based Data Gathering Scheme for Wireless Sensor Networks. IEICE Trans. Inf. Syst. 96-D(9): 2135-2138 (2013) - [j1]Yihong Chen, Quanyuan Feng, Ma Zheng, Liu Tao:
Multiple-bits-slot reservation aloha protocol for tag identification. IEEE Trans. Consumer Electron. 59(1): 93-100 (2013)
Conference and Workshop Papers
- 2024
- [c22]Yihong Chen, Cong Wang, Tianpei Yang, Meng Wang, Yingfeng Chen, Jifei Zhou, Chaoyi Zhao, Xinfeng Zhang, Zeng Zhao, Changjie Fan, Zhipeng Hu, Rong Xiong, Long Zeng:
Mastering Robot Control through Point-based Reinforcement Learning with Pre-training. AAMAS 2024: 2198-2200 - [c21]Wanru Zhao, Yihong Chen, Royson Lee, Xinchi Qiu, Yan Gao, Hongxiang Fan, Nicholas Donald Lane:
Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages. ICLR 2024 - 2023
- [c20]Kelly Marchisio, Patrick S. H. Lewis, Yihong Chen, Mikel Artetxe:
Mini-Model Adaptation: Efficiently Extending Pretrained Models to New Languages via Aligned Shallow Training. ACL (Findings) 2023: 5474-5490 - [c19]Yihong Chen, Kelly Marchisio, Roberta Raileanu, David Ifeoluwa Adelani, Pontus Lars Erik Saito Stenetorp, Sebastian Riedel, Mikel Artetxe:
Improving Language Plasticity via Pretraining with Active Forgetting. NeurIPS 2023 - 2022
- [c18]Dong Wang, Zhao Zhang, Ziwei Zhao, Yuhang Liu
PointScatter: Point Set Representation for Tubular Structure Extraction. ECCV (21) 2022: 366-383 - [c17]Ziwei Zhao, Dong Wang, Yihong Chen, Ziteng Wang, Liwei Wang:
Check and Link: Pairwise Lesion Correspondence Guides Mammogram Mass Detection. ECCV (21) 2022: 384-400 - [c16]Yihong Chen, Pushkar Mishra, Luca Franceschi, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel:
ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective. NeurIPS 2022 - 2021
- [c15]Yihong Chen, Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp:
Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations. AKBC 2021 - [c14]Siyang Lu, Yihong Chen, Xiaolin Zhu, Ziyi Wang, Yangjun Ou, Yuhang Xie:
Exploring Support Vector Machines for Big Data Analyses. CSSE 2021: 31-37 - [c13]Siyi Liu, Chen Gao, Yihong Chen, Depeng Jin, Yong Li:
Learnable Embedding sizes for Recommender Systems. ICLR 2021 - 2020
- [c12]Qian Liu, Yihong Chen, Bei Chen, Jian-Guang Lou, Zixuan Chen, Bin Zhou, Dongmei Zhang:
You Impress Me: Dialogue Generation via Mutual Persona Perception. ACL 2020: 1417-1427 - [c11]Yihong Chen, Yue Cao, Han Hu, Liwei Wang:
Memory Enhanced Global-Local Aggregation for Video Object Detection. CVPR 2020: 10334-10343 - [c10]Yiyun Chen, Yihong Chen, Jing-Hao Xue, Wenming Yang, Qingmin Liao:
Lightweight Single Image Super-Resolution Through Efficient Second-Order Attention Spindle Network. ICME 2020: 1-6 - [c9]Yihong Chen, Zheng Zhang, Yue Cao, Liwei Wang, Stephen Lin, Han Hu:
RepPoints v2: Verification Meets Regression for Object Detection. NeurIPS 2020 - 2019
- [c8]Lin Zhu, Yihong Chen, Bowen He:
A Domain Generalization Perspective on Listwise Context Modeling. AAAI 2019: 5965-5972 - [c7]Linjie Xu, Yihong Chen:
A Hierarchical Approach for MARLÖ Challenge. CoG 2019: 1-4 - [c6]Lin Zhu, Jiaxing Lu, Yihong Chen:
HDI-Forest: Highest Density Interval Regression Forest. IJCAI 2019: 4468-4474 - [c5]Yihong Chen, Bei Chen, Xiangnan He, Chen Gao, Yong Li, Jian-Guang Lou, Yue Wang:
λOpt: Learn to Regularize Recommender Models in Finer Levels. KDD 2019: 978-986 - 2018
- [c4]Yihong Chen, Bei Chen, Xuguang Duan, Jian-Guang Lou, Yue Wang, Wenwu Zhu, Yong Cao:
Learning-to-Ask: Knowledge Acquisition via 20 Questions. KDD 2018: 1216-1225 - [c3]Lin Zhu, Bowen He, Mengxin Ji, Cheng Ju, Yihong Chen:
Automatic Music Playlist Continuation via Neighbor-based Collaborative Filtering and Discriminative Reweighting/Reranking. RecSys Challenge 2018: 10:1-10:6 - 2015
- [c2]Anudipa Maiti, Yihong Chen, Geoffrey Challen:
Jouler: A Policy Framework Enabling Effective and Flexible Smartphone Energy Management. MobiCASE 2015: 161-180 - 2013
- [c1]Yihong Chen, Qijun Chen:
Real-time imitation human upper-body movement with joint and self-collision constraints. RAM 2013: 1-6
Data and Artifacts
- 2024
- [d1]Yihong Chen, Ziyi Wang, Hao Zheng, Meng Liu:
CWNU-RDA. IEEE DataPort, 2024
Informal and Other Publications
- 2024
- [i25]Yihong Chen, Zhen Fan, Shuai Dong, Zhiwei Chen, Wenjie Li, Minghui Qin, Min Zeng, Xubing Lu, Guofu Zhou, Xingsen Gao, Jun-Ming Liu:
NAFRSSR: a Lightweight Recursive Network for Efficient Stereo Image Super-Resolution. CoRR abs/2405.08423 (2024) - [i24]Ruixi Zhang, Yihong Chen, Qian Huang, Wen-An Yong:
Dissipativeness of the hyperbolic quadrature method of moments for kinetic equations. CoRR abs/2406.13931 (2024) - [i23]Xinchi Qiu, William F. Shen, Yihong Chen, Nicola Cancedda, Pontus Stenetorp, Nicholas D. Lane:
PISTOL: Dataset Compilation Pipeline for Structural Unlearning of LLMs. CoRR abs/2406.16810 (2024) - [i22]Chunan Liu, Lilian Denzler, Yihong Chen, Andrew Martin, Brooks Paige:
AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope Prediction. CoRR abs/2407.18184 (2024) - [i21]Yihong Chen, Xiangxiang Xu, Yao Lu, Pontus Stenetorp, Luca Franceschi:
Jet Expansions of Residual Computation. CoRR abs/2410.06024 (2024) - 2023
- [i20]Yihong Chen, Kelly Marchisio, Roberta Raileanu, David Ifeoluwa Adelani, Pontus Stenetorp, Sebastian Riedel, Mikel Artetxe:
Improving Language Plasticity via Pretraining with Active Forgetting. CoRR abs/2307.01163 (2023) - [i19]Jingqing Ruan, Yihong Chen, Bin Zhang, Zhiwei Xu
TPTU: Task Planning and Tool Usage of Large Language Model-based AI Agents. CoRR abs/2308.03427 (2023) - [i18]Yihong Chen, Qian Huang, Wen-An Yong, Ruixi Zhang:
Poisson quadrature method of moments for 2D kinetic equations with velocity of constant magnitude. CoRR abs/2308.10083 (2023) - [i17]Yilun Kong, Jingqing Ruan, Yihong Chen, Bin Zhang, Tianpeng Bao, Shiwei Shi, Guoqing Du, Xiaoru Hu, Hangyu Mao, Ziyue Li
TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems. CoRR abs/2311.11315 (2023) - 2022
- [i16]Huang Qian, Yihong Chen, Wen-An Yong:
Discrete-velocity-direction models of BGK-type with minimum entropy: I. Basic idea. CoRR abs/2206.00572 (2022) - [i15]Yihong Chen, Pushkar Mishra, Luca Franceschi, Pasquale Minervini
ReFactorGNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective. CoRR abs/2207.09980 (2022) - [i14]Hao Yang, Chen Shi, Yihong Chen, Liwei Wang:
Boosting 3D Object Detection via Object-Focused Image Fusion. CoRR abs/2207.10589 (2022) - [i13]Dong Wang, Zhao Zhang, Ziwei Zhao, Yuhang Liu, Yihong Chen, Liwei Wang:
PointScatter: Point Set Representation for Tubular Structure Extraction. CoRR abs/2209.05774 (2022) - [i12]Ziwei Zhao, Dong Wang, Yihong Chen, Ziteng Wang, Liwei Wang:
Check and Link: Pairwise Lesion Correspondence Guides Mammogram Mass Detection. CoRR abs/2209.05809 (2022) - [i11]Kelly Marchisio, Patrick S. H. Lewis, Yihong Chen, Mikel Artetxe:
Mini-Model Adaptation: Efficiently Extending Pretrained Models to New Languages via Aligned Shallow Training. CoRR abs/2212.10503 (2022) - 2021
- [i10]Siyi Liu, Chen Gao, Yihong Chen, Depeng Jin, Yong Li:
Learnable Embedding Sizes for Recommender Systems. CoRR abs/2101.07577 (2021) - [i9]Yihong Chen, Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp:
Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations. CoRR abs/2110.02834 (2021) - 2020
- [i8]Yihong Chen, Yue Cao, Han Hu, Liwei Wang:
Memory Enhanced Global-Local Aggregation for Video Object Detection. CoRR abs/2003.12063 (2020) - [i7]Qian Liu, Yihong Chen, Bei Chen, Jian-Guang Lou, Zixuan Chen, Bin Zhou, Dongmei Zhang:
You Impress Me: Dialogue Generation via Mutual Persona Perception. CoRR abs/2004.05388 (2020) - [i6]Yihong Chen, Zheng Zhang, Yue Cao, Liwei Wang, Stephen Lin, Han Hu:
RepPoints V2: Verification Meets Regression for Object Detection. CoRR abs/2007.08508 (2020) - 2019
- [i5]Lin Zhu, Yihong Chen, Bowen He:
A Domain Generalization Perspective on Listwise Context Modeling. CoRR abs/1902.04484 (2019) - [i4]Lin Zhu, Yihong Chen:
Session-based Sequential Skip Prediction via Recurrent Neural Networks. CoRR abs/1902.04743 (2019) - [i3]Lin Zhu, Jiaxing Lu, Yihong Chen:
HDI-Forest: Highest Density Interval Regression Forest. CoRR abs/1905.10101 (2019) - [i2]Yihong Chen, Bei Chen, Xiangnan He, Chen Gao, Yong Li, Jian-Guang Lou, Yue Wang:
LambdaOpt: Learn to Regularize Recommender Models in Finer Levels. CoRR abs/1905.11596 (2019) - 2018
- [i1]Yihong Chen, Bei Chen, Xuguang Duan, Jian-Guang Lou, Yue Wang, Wenwu Zhu, Yong Cao:
Learning-to-Ask: Knowledge Acquisition via 20 Questions. CoRR abs/1806.08554 (2018)
Coauthor Index
aka: Pontus Lars Erik Saito Stenetorp
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